M

Mayeesha Mahzabin Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas

Last publication 2025 Last refreshed 2026-05-16

grad_student

1 h-index 3 pubs 3 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Mayeesha Mahzabin's research investigates the application of machine learning and Internet of Things (IoT) technologies for improving system security and data analysis. Her work includes an assessment of water quality in smart city environments utilizing ML-IoT, and research into cloud-based infrastructure for post-quantum cryptography side-channel attack analysis. Mahzabin also studies intrusion detection systems for database management using machine learning techniques. She has collaborated on publications with researchers at the University of Arkansas at Fayetteville, including David Andrews, Miaoqing Huang, and Alexander Nelson. Her scholarly contributions are reflected in a h-index of 1, with 3 total publications and 3 citations.

Metrics

h-index: 1
Publications: 3
Citations: 3

Selected Publications

Intrusion Detection in Database Management System Using Machine Learning (2025)

DOI OpenAlex
Towards Cloud-based Infrastructure for Post-Quantum Cryptography Side-channel Attack Analysis (2023)

1 citation DOI OpenAlex

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Collaboration Network

9 Collaborators 3 Institutions 2 Countries

Top Collaborators

Sabbir Ahmed Jahangirnagar University (BD) 1 shared publication

Shahrin Shahpar Bangladesh University of Professionals (BD) 1 shared publication

Surraiya Islam Tonni Bangladesh University of Professionals (BD) 1 shared publication

Md. Sazzadur Rahman Jahangirnagar University (BD) 1 shared publication

Tristen Teague University of Arkansas at Fayetteville 1 shared publication

In database

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Alexander Nelson University of Arkansas at Fayetteville 1 shared publication

In database

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David Andrews University of Arkansas at Fayetteville (US) 1 shared publication

Miaoqing Huang University of Arkansas at Fayetteville 1 shared publication

In database

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